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Integrity report for Rethinking Neural Network Learning Rates: A Stackelberg Perspective

A machine-verified record of the checks Pith has run against this paper: detector runs, findings, signed bundle events, and canonical identifiers.

arXiv:2605.15530 · pith:2026:Q7RP75NJCFUMSVMKU25HEF2AWR

0Critical
0Advisory
7Detectors run
2026-05-20Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-20 15:01:25.279267+00:00
doi_compliance completed v1.0.0 · findings 0 · 2026-05-20 14:53:06.871655+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-20 14:22:04.644200+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-19 14:22:02.212584+00:00
shingle_duplication skipped v0.1.0 · findings 0 · 2026-05-19 13:49:41.835827+00:00
citation_quote_validity skipped v0.1.0 · findings 0 · 2026-05-19 13:49:41.373268+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-19 13:33:22.621376+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/Q7RP75NJ/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.